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How to visualize memory usage on Linux
If you would like to use this photo, be sure to place a proper attribution linking to xmodulo.com
VersuS visualizing the realtime lives of cities: Riots in Rome Oct. 15th
www.artisopensource.net/2011/10/16/versus-rome-october-15...
The peaks and contours you see represent the intensity of the communication and conversations that was taking place from the start of the protest (at 3pm local time) up until its approximate end (at 8pm local time).
VersuS is a spin-off of the ConnectiCity project, and is intended to create tools that enable us to imagine, design and create new tools for the city.
In VersuS the possibility to capture and understand the conversations on social networks is transformed into a tool with infinite uses, whose main goal is to propose new forms of citizenship and human relation, and to also suggest institutions and organizations new methodologies and strategies to innovate their understanding of their cities and to design and enact strategies which leverage new possible sensibilities to the desires, wishes and creativity of people.
These and other topics will be discussed at the Share Festival and at the FabLab Italia during the first week of November 2011, where we will present the “VersuS” project.
WolfVision Visualizer presentation, and collaboration solutions are used in universities, businesses, and other organizations worldwide. www.wolfvision.com
Edited Copernicus Sentinel/NASA-JPL visualization of blast damage from the explosion in the Port of Beirut on 4 August 2020.
Image source: earthobservatory.nasa.gov/images/147098/scientists-map-be...
Original caption: On August 4, 2020, a devastating explosion rocked the port area around Beirut, Lebanon. After the event, scientists used satellite radar imagery to map the extent of the damage and help identify areas where people may need assistance.
According to the Associated Press, a fire near the port ignited a large nearby store of ammonium nitrate, a highly explosive chemical often used in fertilizer. At least 135 people died, about 5,000 were wounded, and at least 300,000 people were left homeless. Losses from the blast are estimated to be at least $10 to $15 billion, according to news reports.
The image above is a damage proxy map created by scientists affiliated with NASA’s Advanced Rapid Imaging and Analysis (ARIA) team and the Earth Observatory of Singapore (EOS). Dark red pixels represent the most severe damage, while orange and yellow areas are moderately or partially damaged. Each colored pixel represents an area of 30 meters by 30 meters (about the size of a baseball infield).
The team at ARIA (NASA Jet Propulsion Laboratory) and EOS examined synthetic aperture radar (SAR) data collected before and after the explosion, mapping changes in the land surface and built structures. SAR instruments send pulses of microwaves toward Earth’s surface and listen for the reflections of those waves. The radar waves can penetrate cloud cover, vegetation, and the dark of night to detect changes that might not show up in visible light imagery. When Earth’s crust moves due to an earthquake, when dry land is suddenly covered by flood water, or when buildings have been damaged or toppled, the amplitude and phase of radar wave reflections changes in those areas and indicates to the satellite that something on the ground has changed.
Though other U.S. and international agencies play more immediate roles in response to disasters, NASA plays a role in providing observations and analysis. Over the past decade, NASA has actively built its capacity to share Earth observations that can improve the prediction of, preparation for, response to, and recovery from natural and technological disasters. For instance, NASA often responds to calls for data and imagery from the International Charter for Space and Major Disasters.
“We look at areas of likely exposed populations and fragile infrastructure, as well as areas subject to social stresses and crises. We model and map risks, while also tracking emissions, debris, infrastructure damage, and other effects from things like volcanic eruptions, fires, industrial accidents, earthquakes, and floods,” said David Green, head of NASA’s Disasters Applications team. “Our observations and analyses can help our partners increase their situational awareness of systemic risks and of real-time events, leading to better-informed decisions and early action.”
NASA Earth Observatory image by Joshua Stevens, using modified Copernicus Sentinel data (2020) processed by ESA and analyzed by Earth Observatory of Singapore (EOS) in collaboration with NASA-JPL and Caltech, Landsat data from the U.S. Geological Survey, and data from OpenStreetMap. Story by Esprit Smith, NASA's Earth Science News Team, and Michael Carlowicz.
A pie chart. Yes, taken the idea from someone else, but they only offered it very low res, and with rather poor design otherwise.
Key English-language terms sought out on IMDB by movie web-surfers within various nations. Could that possibly be true?
Exploring one million manga images on 287 megapixel HIPerSpace on supervisualization system at Calit2, San Diego.
This photo: Jeremy Douglass (Post-doctoral researcher, Software Studies Initiative) and Florian Wiencek (Jacobs-University, Bremen)
Fresh House | Visualization Project
Project : L.A Apartment
Co-op with the company in Norway
Visualized by Fresh House
Fresh House | Visualization Project
Project : L.A Apartment
Co-op with the company in Norway
Visualized by Fresh House
My wife is almost finished with her dissertation and will be applying for academic jobs. She will need to include a detailed overview of her research agenda with her applications. I helped her get started on her crafting the research agenda by creating this mind map out of sticky notes while asking her questions about her research history. current interests, and future research goals.
Visualize the Problem. Project Management Knowledge Cafe JUAS Global Project Management Workshop. pmbokcafe.com
Transit (Orange) is bus, Bart, car; walking in green. These data (like all data) are imperfect. Data collection via Moves (now owned by Facebook); data visualization via Halftone's Move-O-Scope: move-o-scope.halftone.co
Visualization of top 5,000 most frequent keywords extracted from over 4,000,000 Wikipedia articles. (Wordle viz software used at www.wordle.net/)
Fresh House | Visualization Project
Project : L.A Apartment
Co-op with the company in Norway
Visualized by Fresh House
A 3D data visualization tool for viewing word frequencies as they change over time or sequential texts. This data set represents words occurring in the State of the Union speeches from Reagan to Obama (developed by Ross Tredinnick and Carrie Roy)
This stuff is confusing. This should help.
Client work:
www.mint.com/blog/finance-core/a-visual-guide-to-the-fina...
How to visualize memory usage on Linux
If you would like to use this photo, be sure to place a proper attribution linking to xmodulo.com
Newer, faster supercomputers have allowed scientists to create detailed models of blood flow that help doctors understand what happens at the molecular level and, consequently, how heart and blood diseases can be treated.
From: www.connectedaction.net
Connections among the Twitter users who recently tweeted the word pdfmeetup when queried on September 13, 2011, scaled by numbers of followers (with outliers thresholded). Connections created when users reply, mention or follow one another.
See: www.meetup.com/PdF/
Layout using the "Group Layout" composed of tiled bounded regions. Clusters calculated by the Clauset-Newman-Moore algorithm are also encoded by color.
A larger version of the image is here: www.flickr.com/photos/marc_smith/6144556601/sizes/o/in/ph...
Betweenness Centrality is defined here: en.wikipedia.org/wiki/Centrality#Betweenness_centrality
Clauset-Newman-Moore algorithm is defined here: pre.aps.org/abstract/PRE/v70/i6/e066111
Top most between users:
@mlsif
@smboylepolitics
@pdfteam
@nclarkjudd
@techpresident
@rich1
@pondswimmer
@mgyerman
@changefeed
@halywttest
Graph Metric: Value
Graph Type: Directed
Vertices: 24
Unique Edges: 50
Edges With Duplicates: 91
Total Edges: 141
Self-Loops: 63
Connected Components: 5
Single-Vertex Connected Components: 4
Maximum Vertices in a Connected Component: 20
Maximum Edges in a Connected Component: 137
Maximum Geodesic Distance (Diameter): 4
Average Geodesic Distance: 1.861386
Graph Density: 0.101449275
NodeXL Version: 1.0.1.176
More NodeXL network visualizations are here: www.flickr.com/photos/marc_smith/sets/72157622437066929/
NodeXL is free and open and available from www.codeplex.com/nodexl
NodeXL is developed by the Social Media Research Foundation (www.smrfoundation.org) - which is dedicated to open tools, open data, and open scholarship.
The book, Analyzing social media networks with NodeXL: Insights from a connected world, is available from Morgan Kaufmann and from Amazon.
Marc Smith on Twitter.